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Compute Silicon Architect Intern (PhD)
St. Paul, MN
Job/Internship Description
**Intro:**
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
**Summary:**
At Facebook Reality Labs, we are developing the future of virtual and augmented reality where we envisioned mobile, lightweight AR/VR devices with very low power consumption. To achieve our vision, we need to be able to generate, transmit and store vast amounts of video, images, graphics, audio and other types of data in an extremely efficient fashion. You will be working with a small group of experts specialized in data compression to design end-to-end compression and streaming solutions for VR and AR. The position requires strong engineering capabilities to quickly prototype innovative solutions to challenging problems. Our goal is not just to harness the latest compression technologies, but also help push the limit of compression technology further. You will have chances to participate in the development of future compression technologies that not only benefit VR and AR, but also have an impact on Facebook as a whole or even across the industry.
**Required Skills:**
1. Study texture and image compression algorithms to assess overall complexity and impact on quality and power.
2. Build modeling software for custom compression algorithms
3. Build custom software toolkit to help development, test and perform evaluation of different compression algorithms
4. Collaborate with Silicon team to develop architecture specifications for custom compression designs
**Minimum Qualifications:**
5. Currently has, or is in the process of obtaining, a PhD in Electrical Engineer, Computer Science or similar field
6. 1+ year's experience in Mathematics & Signal processing
7. 1+ year's experience in image and video processing
8. Programming experience in C/C++, with algorithm design skills
9. Interpersonal experience: cross-group and cross-culture collaboration
10. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
**Preferred Qualifications:**
11. Intent to return to degree program after the completion of the internship/co-op
12. Familiarity with texture and image compression standards (ATSC, BCx, JPEG, etc.)
13. Coursework in compression
14. Background in hardware architecture for signal processing applications
15. Experience with real-time computer graphics pipeline, GPU hardware and ASIC development
**Industry:** Internet
**Equal Opportunity:** Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Position Summary
Company
Facebook
Start Date
As soon as possible
Employment Type
Full Time
Period of Employment
Open
Type of Compensation
Paid
College Credits Earned
No
Tuition Assistance
No
Required Student Status
Open
Preferred Majors
Other
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